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The National Academies

NCHRP 17-89A [Active]

HOV/HOT Freeway Crash Prediction Method for the Highway Safety Manual

  Project Data
Funds: $299,998
Staff Responsibility: Edward Harrigan
Research Agency: Vanasse Hangen Brustlin, Inc.
Principal Investigator: Scott Himes
Effective Date: 7/10/2018
Completion Date: 12/31/2021

BACKGROUND

The first edition of the AASHTO Highway Safety Manual (HSM) in 2010 provided the transportation industry with a method to estimate crash type and frequency by severity for standard highway facility types. However, the HSM does not address freeway facilities with high-occupancy vehicle (HOV) lanes, high-occupancy toll (HOT) lanes, or other managed-lane strategies.

There are many design elements of freeways with HOV/HOT lanes that influence performance. Research is needed to develop a safety predictive methodology that can be used to estimate the expected crash frequency and severity of a range of freeway facilities with HOV or HOT with various geometric and traffic volume characteristics. The methodology should provide information useful to the planning, project development, and operation of these facilities and should be sensitive to a wide range of HOV and HOT lane design elements.

OBJECTIVES

The objectives of this research are to (a) develop a predictive methodology that can be used to estimate crash frequency and severity for freeway facilities, and associated ramps, with HOV or HOT lanes and (b) provide a tool for highway agencies to quantify safety performance in planning, project development, and operation of freeways with HOV or HOT lanes.

STATUS

 The draft final deliverables are in review.

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